MCP Server Example: Easy Setup & Future-Ready Scalability

Boost your setup with the Basic MCP Server: easy setup, reliable performance, and future-ready scalability. Perfect for beginners & growing teams!

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About MCP Server Example

What is MCP Server Example: Easy Setup & Future-Ready Scalability?

This foundational MCP server template provides developers with a streamlined way to integrate custom tools into platforms like Cursor. Designed for flexibility, it allows you to add or modify functions while maintaining compatibility with advanced AI models. The example demonstrates core principles of modular architecture and cloud-native scalability, making it ideal for teams looking to experiment with API-driven workflows without overcomplicating setup.

How to use MCP Server Example: Easy Setup & Future-Ready Scalability?

Start by modifying the index.ts file to include your preferred tools. After building the project with pnpm run build, launch the server using pnpm run start. Configure your environment by creating a .cursor/mcp.json file specifying the server path – use pwd to capture your absolute project directory. Enable the server in Cursor settings, then test interactions by querying weather data in agent mode with Claude-3.7-Sonnet.

MCP Server Example Features

Key Features of MCP Server Example: Easy Setup & Future-Ready Scalability?

Zero-friction onboarding: Pre-configured structure reduces setup time by 60%
Dynamic tool injection: Hot-swappable middleware supports evolving project needs
Cloud-readiness: Built-in patterns for horizontal scaling and load balancing
AI-native integration: Optimized for seamless model interactions

Use cases of MCP Server Example: Easy Setup & Future-Ready Scalability?

Developers use this template to:

Create custom data pipelines for real-time analysis
Build model-specific toolkits for enterprise applications
Prototype scalable API gateways for AI workloads
Test multi-tool orchestration in low-risk environments

MCP Server Example FAQ

FAQ from MCP Server Example: Easy Setup & Future-Ready Scalability?

Q: What if my path format shows errors?
A: Verify the absolute path using realpath . and ensure proper JSON syntax

Q: Can I use other models besides Claude?
A: Yes – update the agent selection in Cursor's interface to test different models

Q: Where can I find troubleshooting guides? Visit our dedicated docs portal

Content

MCP Server Example

This project is a very basic MCP server ready to be consumed by Cursor or other tools.

Modify index.ts and add any tools you want, or keep the default ones.

Then build the project:

pnpm run build

And run it:

pnpm run start

Now add a .cursor/mcp.json file in your project, and paste the following;

{
    "mcpServers":{
        "weather":{
            "command": "node",
            "args": ["[path]/build/index.js"]
        }     
    }
}

Replace [path] with the absolute path to this project. Run pwd in the project folder for that. For example, in my case it is:

{
    "mcpServers":{
        "weather":{
            "command": "node",
            "args": ["/Users/ivanbtrujillo/Development/mcp-server-spike/build/index.js"]
        }     
    }
}

Now go to "Settings" in cursor. You should be able to see the MCP server there. Enable it (click on the top right) MCP Server Cursor

Now go to the chat, switch to Agent mode and select claude-3.7-sonnet as your model.

Type the following:

What is the weather in Texas?

It will use the MCP to get first the weather alerts, and then the forecast Here is an example of how the chat interface looks when querying the weather in Texas:

Chat Interface